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Course Description
When an AWS application slows down or starts failing, can you find the cause before your users do? This course gives you the observability skills to monitor, diagnose, and fix production workloads with confidence. With Amazon CloudWatch, you'll collect metrics and logs, build dashboards that surface problems at a glance, and set up alarms and notifications that alert you the moment something breaks. With AWS X-Ray, you'll trace requests across distributed services, read service maps, and pinpoint the exact hop driving latency or errors. You'll work through realistic troubleshooting scenarios, including failed Lambda invocations, slow database calls, and cascading failures, turning guesswork into a repeatable diagnostic process. By the end, you'll keep AWS applications reliable, performant, and observable from end to end.
Prerequisites
Curriculum
Course outline
1
CloudWatch Monitoring and Observability
This chapter introduces Amazon CloudWatch, its core services, and the principles of observability and monitoring.
- Getting started with Amazon CloudWatch50 XP
- Take a tour of the CloudWatch console100 XP
- What are monitoring and observability?50 XP
- Core CloudWatch functionality50 XP
- CloudWatch metrics50 XP
- Classify metric components100 XP
- Custom metrics and dimensions50 XP
- Explore metric anatomy50 XP
- Building CloudWatch dashboards50 XP
- Spot the performance bottleneck50 XP
- Create a CloudWatch dashboard100 XP
- Explore dashboard widgets50 XP
2
CloudWatch Logs and Alarms
Learn about how to work with CloudWatch logs and setup alarms and notifications.
3
Distributed Tracing with X-Ray
Learn how to observe distributed applications using AWS X-Ray.
Monitoring and Troubleshooting AWS
Course
Complete
